Statistical Methods in Physical Mapping

Abstract

Statistical methods are used to predict the progress of a physical mapping project in terms of the number and size of the contigs and the proportion of genome covered by contigs.

Keywords: physical mapping; islands; genome coverage; Poisson process; coverage process

References

Arratia R, Lander ES, Tavaré S and Waterman MS (1991) Genomic mapping by anchoring random clones: a mathematical analysis. Genomics 11: 806–827.

Hall P (1988) Introduction to the Theory of Coverage Processes. New York, NY: Wiley.

Kingman JFC (1993) Poisson Processes. Oxford, UK: Oxford University Press.

Lander ES and Waterman MS (1988) Genomic mapping by fingerprinting random clones: a mathematical analysis. Genomics 2: 231–239.

Port E, Sun F, Martin D and Waterman MS (1995) Genomic mapping by end‐characterized random clones: a mathematical analysis. Genomics 26: 84–100.

Schbath S (1997) Coverage processes in physical mapping by anchoring random clones. Journal of Computational Biology 4: 61–82.

Schbath S, Bossard N and Tavaré S (2000) The effect of nonhomogeneous clone length distribution on the progress of an STS mapping project. Journal of Computational Biology 7: 47–57.

Contact Editor close
Submit a note to the editor about this article by filling in the form below.

* Required Field

How to Cite close
Schbath, Sophie(Jul 2006) Statistical Methods in Physical Mapping. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1038/npg.els.0005434]